Physical activity is a major contributor to the ultra low frequency components of heart rate variability

Objective To explore the effect of acupuncture at HT7 on heart rate variability (HRV) in healthy volunteers. Methods 120 subjects were divided into four groups using a random number table. The following groups of acupuncture interventions were used: HT7 verum acupuncture; HT7 non-penetrating sham acupuncture; acupuncture at a sham point; and no acupuncture. HRV was recorded 10 min before, during and after each stimulation using an Actiheart ECG recorder. Results The HT7 verum acupuncture group had higher very-low frequency, low frequency and high frequency components of HRV compared with the control groups during but not after acupuncture. The HT7 verum acupuncture group also had higher SD of normal intervals compared with the sham needling and no acupuncture control groups. Conclusions Our preliminary study suggests, subject to limitations, that acupuncture at HT7 could affect cardiac autonomic neural regulation in healthy subjects, manifest as increased HRV, most likely via the parasympathetic system. Trial Registration Number ChiCTR-TRC-08000302.

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Relationship between Physical Activity and the Very Low-Frequency Component of Heart Rate Variability after Stroke

Journal of Stroke and Cerebrovascular Diseases ◽

10.1016/j.jstrokecerebrovasdis.2014.11.026 ◽

2015 ◽

Vol 24 (4) ◽

pp. 840-843 ◽

Cited By ~ 10

Author(s):

Harunobu Usui ◽

Yuusuke Nishida

Keyword(s):

Physical Activity ◽

Heart Rate ◽

Heart Rate Variability ◽

Low Frequency ◽

Frequency Component ◽

Very Low Frequency

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Association between heart rate, heart rate variability, cortisol, glucose and electrolytes in healthy newborn calves

Arquivo Brasileiro de Medicina Veterinária e Zootecnia ◽

10.1590/1678-4162-10461 ◽

2019 ◽

Vol 71 (6) ◽

pp. 1922-1928

Author(s):

D.A.C. Quevedo ◽

M.L.G. Lourenço ◽

C.A.D. Bolaños ◽

R.K. Takahira ◽

E. Oba ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Strong Correlation ◽

Plasma Concentrations ◽

Low Frequency ◽

Positive Association ◽

Blood Levels ◽

Healthy Newborn ◽

Frequency Components ◽

Newborn Calves

ABSTRACT This study aims at evaluating the effects of electrolytes, glucose and cortisol levels over heart rate (HR) and heart rate variability (HRV) in healthy newborn calves. Seventeen healthy Holstein calves were evaluated during their first month of life, and the plasma concentrations of glucose, cortisol, calcium, magnesium, inorganic phosphorus, sodium and potassium were analyzed. HRV indexes were determined in the time and frequency domains through the analysis of neonatal electrocardiogram recordings. In the first day, low blood levels of phosphorus presented a strong correlation with the HR and the increased high-frequency components of HRV. The plasma concentrations of magnesium decreased significantly throughout the 35 days, revealing a positive association with a decreasing low-frequency components of HRV at day 28. There was a strong correlation between HR, HRV indexes, some plasma electrolytes, glucose and cortisol during the studied period. Variations in the concentrations and correlations observed may be attributed to the adaptive neonatal period in calves.

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Association of autonomic dysfunction and clozapine

The British Journal of Psychiatry ◽

10.1192/bjp.179.2.167 ◽

2001 ◽

Vol 179 (2) ◽

pp. 167-171 ◽

Cited By ~ 91

Author(s):

Hagit Cohen ◽

Uri Loewenthal ◽

Michael Matar ◽

Moshe Kotler

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Psychiatric Patients ◽

Low Frequency ◽

Power Spectral Analysis ◽

Rate Analysis ◽

Power Spectral ◽

Wide Range ◽

Frequency Components ◽

Heart Rate Analysis

BackgroundAntipsychotic medications cause a wide range of adverse effects and have been associated with sudden death in psychiatric patients.AimsTo supply power spectral analysis of heart rate variability as a tool to examine the arrythmogenic effects of neuroleptics.MethodHeart rate analysis was carried out in patients with schizophrenia on standard doses of neuroleptic monotherapy − 21 were on clozapine, 18 on haloperidol and 17 on olanzapine – and in 53 healthy subjects.ResultsPatients with schizophrenia on clozapine had significantly higher heart rate, lower heart rate variability and lower high-frequency and higher low-frequency components compared with patients on haloperidol or olanzapine and matched control subjects. Prolonged QTc intervals were more common in patients than controls.ConclusionsPatients treated with neuroleptic medications, especially clozapine, showed autonomic dysregulation and cardiac repolarisation changes. Physicians should be aware of this adverse reaction.

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Abstract 16348: Comparison of Heart Rate Variability, Physical Activity, and Fitness Parameters Between Healthy Women and Breast Cancer Survivors

Circulation ◽

10.1161/circ.142.suppl_3.16348 ◽

2020 ◽

Vol 142 (Suppl_3) ◽

Author(s):

Elena Martínez-Rosales ◽

Alba Hernández-Martínez ◽

Manuel Alcaraz-Ibáñez ◽

Laura López-Sánchez ◽

David Manuel Díez-Fernández ◽

...

Keyword(s):

Breast Cancer ◽

Physical Activity ◽

Heart Rate ◽

Heart Rate Variability ◽

Cancer Survivors ◽

Breast Cancer Survivors ◽

Handgrip Strength ◽

Vigorous Physical Activity ◽

Low Frequency ◽

Healthy Women

Introduction: Breast cancer remains the most commonly type of cancer. Heart rate variability (HRV), a clinical indicator of autonomic dysfunction and premature mortality, has been found to be impaired in breast cancer survivors immediately after treatment and in the last stages of metastasis. Physical activity and fitness represent relevant health markers that might prevent some of the side effects following breast cancer treatment, so it would be of clinical interest assessing potential differences with healthy controls. Hypothesis: Compared to healthy women, breast cancer survivors are expected to show impaired HRV-derived parameters, as well as lower physical activity and fitness. Methods: This cross-sectional study included 20 women that survived breast cancer (post-operative period >2 years) and 20 healthy women controls, matched by age and BMI. Fitness evaluations included the modified Ruffier-Dixon test and handgrip strength. Moderate-to-vigorous physical activity (MVPA) was assessed through a self-reported questionnaire. Short-term HRV was measured using 5-minutes recording and were analyzed with Kubios Premium. Sample size was determined for two-tailed tests, statistical power of 0.8, effect size >0.7, and significance level of p<0.05. Between-groups differences were examined using Mann–Whitney U test and Student’s t-test, for normally and not-normally distributed variables, respectively. Results: Concerning HRV parameters, breast cancer survivors presented lower Very Low Frequency and Low Frequency, and higher Low Frequency/High Frequency ratio (all p <0.001), compared to controls. No statistically significant differences were observed in MVPA time ( p =0.48) or estimated VO 2max ( p =0.24), although handgrip strength was decreased in cancer survivors ( p =0.02). Conclusions: A cardiovascular imbalance in breast cancer survivors may be suggested in comparison to healthy age- and BMI-matched controls, as evidenced by reduced HRV after >2 years of post-operative treatment. In contrast, there were no differences in weekly MVPA or VO 2max between groups, although muscular strength could still be affected. These results need to be contrasted by future long-term prospective research.

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Physical Activity and Aerobic Fitness are Positively Associated With Heart Rate Variability in Obese Adults

Journal of Physical Activity and Health ◽

10.1123/jpah.2012-0405 ◽

2014 ◽

Vol 11 (8) ◽

pp. 1614-1621 ◽

Cited By ~ 20

Author(s):

Kaisu Marjut Kaikkonen ◽

Raija irmeli Korpelainen ◽

Mikko P. Tulppo ◽

Hannu Sakari Kaikkonen ◽

Marja Liisa Vanhala ◽

...

Keyword(s):

Physical Activity ◽

Heart Rate ◽

Heart Rate Variability ◽

Health Risks ◽

Aerobic Fitness ◽

High Frequency ◽

Low Frequency ◽

Aerobic Performance ◽

Obese Adults ◽

Frequency Power

Background:Autonomic nervous system (ANS) dysfunction and obesity are intrinsically related to each other. In normal-weight subjects physical activity (PA) and fitness are related to cardiovascular autonomic regulation, providing evidence that aerobic training may improve ANS functioning measured by heart rate variability (HRV). The goal of this study was to investigate the association between lifetime PA, aerobic fitness and HRV in obese adults.Methods:Participants included 107 (87 females) volunteers (mean age 44.5 years, median BMI 35.7) who completed health and lifestyle questionnaires and measurements of maximal aerobic performance, anthropometry and 24 h HRV.Results:In the multivariate linear regression analyses, lifetime physical activity explained 40% of the variance in normal R-R intervals (SDNN). Each 1-category increase in the activity index increased SDNN by 15.4 (P = .009) and 24% of the variance in natural logarithmic value of ultra-low frequency power (P = .050). High measured VO2max explained 45% of the variance in natural logarithmic value of high-frequency power (P = .009) and 25% of the variance in low frequency/high frequency ratio (P < .001).Conclusions:Lifetime physical activity and aerobic fitness may reduce obesity-related health risks by improving the cardiac autonomic function measured by HRV in obese workingage subjects. This research supports the role of lifetime physical activity in weight management strategies and interventions to reduce obesity-related health risks.

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Coarse-graining spectral analysis: new method for studying heart rate variability

Journal of Applied Physiology ◽

10.1152/jappl.1991.71.3.1143 ◽

1991 ◽

Vol 71 (3) ◽

pp. 1143-1150 ◽

Cited By ~ 229

Author(s):

Y. Yamamoto ◽

R. L. Hughson

Keyword(s):

Heart Rate ◽

Time Series ◽

Heart Rate Variability ◽

Spectral Analysis ◽

High Frequency ◽

Low Frequency ◽

Scale Invariant ◽

Very Low Frequency ◽

Frequency Components ◽

Harmonic Components

Heart rate variability (HRV) spectra are typically analyzed for the components related to low- (less than 0.15 Hz) and high- (greater than 0.15 Hz) frequency variations. However, there are very-low-frequency components with periods up to hours in HRV signals, which might smear short-term spectra. We developed a method of spectral analysis suitable for selectively extracting very-low-frequency components, leaving intact the low- and high-frequency components of interest in HRV spectral analysis. Computer simulations showed that those low-frequency components were well characterized by fractional Brownian motions (FBMs). If the scale invariant, or self-similar, property of FBMs is considered a new time series (x′) was constructed by sampling only every other point (course graining) of the original time series (x). Evaluation of the cross-power spectra between these two (Sxx′) showed that the power of the FBM components was preserved, whereas that of the harmonic components vanished. Subtraction of magnitude of Sxx from the autopower spectra of the original sequence emphasized only the harmonic components. Application of this method to HRV spectral analyses indicated that it might enable one to observe more clearly the low- and high-frequency components characteristic of autonomic control of heart rate.

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